默认情况下,Dataproc Serverless 支持收集可用的 Spark 指标,除非您使用 Spark 指标收集属性停用或替换一个或多个 Spark 指标的收集。
Spark 指标集合属性
您可以使用本部分列出的属性来停用或替换一个或多个可用 Spark 指标的集合。
属性 | 说明 |
---|---|
spark.dataproc.driver.metrics |
用于停用或替换 Spark 驱动程序指标。 |
spark.dataproc.executor.metrics |
用于停用或替换 Spark Executor 指标。 |
spark.dataproc.system.metrics |
用于停用 Spark 系统指标。 |
gcloud CLI 示例:
停用 Spark 驱动程序指标收集:
gcloud dataproc batches submit spark \ --properties spark.dataproc.driver.metrics="" \ --region=region \ other args ...
替换 Spark 默认驱动程序指标收集,以仅收集
BlockManager:disk.diskSpaceUsed_MB
和DAGScheduler:stage.failedStages
指标:gcloud dataproc batches submit spark \ --properties=spark.dataproc.driver.metrics="BlockManager:disk.diskSpaceUsed_MB,DAGScheduler:stage.failedStages" \ --region=region \ other args ...
可用的 Spark 指标
除非您使用 Spark 指标收集属性停用或替换其集合,否则 Dataproc Serverless 会收集本部分中列出的 Spark 指标。
custom.googleapis.com/METRIC_EXPLORER_NAME
.
Spark 驱动程序指标
指标 | Metrics Explorer 名称 |
---|---|
BlockManager:disk.diskSpaceUsed_MB | spark/driver/BlockManager/disk/diskSpaceUsed_MB |
BlockManager:memory.maxMem_MB | spark/driver/BlockManager/memory/maxMem_MB |
BlockManager:memory.memUsed_MB | spark/driver/BlockManager/memory/memUsed_MB |
DAGScheduler:job.activeJobs | spark/driver/DAGScheduler/job/activeJobs |
DAGScheduler:job.allJobs | spark/driver/DAGScheduler/job/allJobs |
DAGScheduler:messageProcessingTime | spark/driver/DAGScheduler/messageProcessingTime |
DAGScheduler:stage.failedStages | spark/driver/DAGScheduler/stage/failedStages |
DAGScheduler:stage.runningStages | spark/driver/DAGScheduler/stage/runningStages |
DAGScheduler:stage.waitingStages | spark/driver/DAGScheduler/stage/waitingStages |
Spark Executor 指标
指标 | Metrics Explorer 名称 |
---|---|
ExecutorAllocationManager:executors.numberExecutorsDecommissionUnfinished | spark/driver/ExecutorAllocationManager/executors/numberExecutorsDecommissionUnfinished |
ExecutorAllocationManager:executors.numberExecutorsExitedUnexpectedly | spark/driver/ExecutorAllocationManager/executors/numberExecutorsExitedUnexpectedly |
ExecutorAllocationManager:executors.numberExecutorsGracefullyDecommissioned | spark/driver/ExecutorAllocationManager/executors/numberExecutorsGracefullyDecommissioned |
ExecutorAllocationManager:executors.numberExecutorsKilledByDriver | spark/driver/ExecutorAllocationManager/executors/numberExecutorsKilledByDriver |
LiveListenerBus:queue.executorManagement.listenerProcessingTime | spark/driver/LiveListenerBus/queue/executorManagement/listenerProcessingTime |
executor:bytesRead | spark/executor/bytesRead |
executor:bytesWritten | spark/executor/bytesWritten |
executor:cpuTime | spark/executor/cpuTime |
executor:diskBytesSpilled | spark/executor/diskBytesSpilled |
executor:jvmGCTime | spark/executor/jvmGCTime |
executor:memoryBytesSpilled | spark/executor/memoryBytesSpilled |
executor:recordsRead | spark/executor/recordsRead |
executor:recordsWritten | spark/executor/recordsWritten |
executor:runTime | spark/executor/runTime |
executor:shuffleFetchWaitTime | spark/executor/shuffleFetchWaitTime |
executor:shuffleRecordsRead | spark/executor/shuffleRecordsRead |
executor:shuffleRecordsWritten | spark/executor/shuffleRecordsWritten |
executor:shuffleRemoteBytesReadToDisk | spark/executor/shuffleRemoteBytesReadToDisk |
executor:shuffleWriteTime | spark/executor/shuffleWriteTime |
executor:succeededTasks | spark/executor/succeededTasks |
ExecutorMetrics:MajorGCTime | spark/executor/ExecutorMetrics/MajorGCTime |
ExecutorMetrics:MinorGCTime | spark/executor/ExecutorMetrics/MinorGCTime |
系统指标
指标 | 指标分层图表名称 |
---|---|
agent:uptime | agent/uptime |
cpu:利用率 | CPU 利用率 |
disk:bytes_used | 磁盘/已使用的字节数 |
disk:percent_used | 磁盘/百分比使用 |
storage:bytes_used | 内存/已使用的字节数 |
memory:percent_used | 内存/已使用百分比 |
network:tcp_connections | network/tcp_connections |
查看 Spark 指标
如需查看批量指标,请在 Google Cloud 控制台的 Dataproc 批次页面上点击批次 ID,以打开批量详细信息页面,该页面会在监控标签页下显示批量工作负载的指标图表。
![](https://cloud.google.com/static/dataproc/images/spark-batch-metrics-graph.png?authuser=2&hl=zh-cn)
如需详细了解如何查看收集的指标,请参阅 Dataproc Cloud Monitoring。